AdresseWe are looking for an experienced research data scientist for the Data Engineering team of Estonian Biofoundry at the newly established Institute of Bioengineering, University of Tartu. The major focus of the work will be the implementation of the EC Horizon project “Centre for Digitalisation of Biology Towards the Next-Generation of Biosustainable Products” (Teaming project DIGIBIO, Widening for Excellence). The project is built as a teaming partnership with the Novo Nordisk Foundation Centre for Biosustainability at the Technical University of Denmark (DTU) and Tallinn Technical University.
The University of Tartu is the biggest and oldest centre of academic life in Estonia - we have over 4,000 employees and 14,000 students. The unique intellectual atmosphere and fine living and working environment that characterise Tartu have attracted prominent scientists and experts for almost 400 years. Join the university family!
Number of vacancies
4
Deadline for applying
15.03.2024
Job location
Ravila 14A, Tartu
Work time
Full time work
Work assignments
- Integration, analysis, and visualization of large-scale and diverse data generated through automated genetic technologies and robot-assisted experimental systems using classical statistics and machine learning workflows.
- Systems biology analysis of gene expression, protein synthesis, metabolism, and phenotypic markers, including modeling molecular interaction networks and working with relevant databases (MetaCyc, KEGG).
- Development of molecular biology solutions for next-generation bioproduct technologies in international and interdisciplinary collaboration with teams from the Technical University of Denmark (Novo Nordisk Foundation Centre for Biosustainability) and Tallinn University of Technology.
- Generate and maintain thorough documentation of activities to ensure the transparency and reproducibility of scientific analysis.
Education
A PhD degree within natural and/or computer science.
Work experience
- At least one year of work experience in life science or computer science field.
- International-level research in the specialisation, the volume of which so far is equivalent to at least one doctoral thesis.
- Experience in analyzing scientific data.
- Proficient in command-line usage and skilled in at least one programming language (R, Python, and/or SQL).
- Familiar with software development practices such as version control and CI/CD.
- Experience in high-performance data processing and image analysis is advantageous, as well as knowledge of systems biology tools such as KEGG, Gene Ontology, Cytoscape, iGraph, and others.
Personal qualities
- Excellent organisational and record keeping skills.
- Ability to work independently and in a team.
- Good communication skills and the desire to work in an international environment.
Language skills
Very good command of English.
The documents required for applying
- A letter of application to the Rector.
- A curriculum vitae with salary request.
- A list of research publications (if necessary, enclosing copies or offprints of more important publications).
- A copy of a document (including its annexes) which shows the candidate to hold the required qualification (with authorized translation into Estonian, English or Russian if the credential is not in Estonian, English, Russian, Finnish, Swedish, French, Italian, Ukrainian and Belarussian languages). A candidate can be required to submit the original or a certified copy of the document (including its annexes) showing the candidate to hold the required qualification. If the candidate has acquired the higher education in question abroad, he or she may be required to submit an assessment issued by the Academic Recognition Information Centre (the Estonian ENIC/NARIC) of his or her qualification in respect of the qualification requirements for the position.
- Other materials considered relevant by the candidate (a list of such materials must be included in the application or annexed to it).
Additional information
The DigiBio project will create a research and technology platform for data-driven disruptive bioengineering solutions to accelerate translation of science to manufacturing of next-generation bioproducts. The platform relies on the generation and analysis of big data through integration of automated genome engineering, phenotype screening, high-throughput analytics, and informatics. The Estonian Biofoundry is a member of the Global Biofoundry Alliance.
Job description, incl. requirements for academic staff.
Salary Rules.
More information about application documents.
Company/organization offers
- Supportive academic environment where you can grow professionally and contribute to meaningful research.
- A wide range of self-improvement options for personal and professional development.
- Flexible working hours.
- Paid holiday 42 days a year.
- We pay the sickness benefit 100% already for days 2-8.
Read more about what we offer to our employees!
- Video link: https://www.youtube.com/watch?v=k2Ke_HCyULI
Contract start date: 01.05.2024
- Workload: 1
